If you specify the NEIGHBOR option, PROC MODECLUS displays a list of neighbors for each observation. The table contains the
following items:

the observation number or ID value of the observation

the observation number or ID value of each of its neighbors

the distance to each neighbor

If you specify the CROSSLIST option, PROC MODECLUS produces a table of information regarding cross validation of the density
estimates. Each table has a row for each observation. For each observation, the following are displayed:

the observation number or ID value of the observation

the radius of the neighborhood

the number of neighbors

the estimated log density

the estimated cross validated log density

If you specify the LOCAL option, PROC MODECLUS produces a table of information regarding estimates of local dimensionality.
Each table has a row for each observation. For each observation, the following are displayed:

the observation number or ID value of the observation

the radius of the neighborhood

the estimated local dimensionality

If you specify the LIST option, PROC MODECLUS produces a table listing the observations within each cluster. The table includes
the following items:

the cluster number

the observation number or ID value of the observation

the estimated density

the sum of the density estimates of observations within the neighborhood that belong to the same cluster

the sum of the density estimates of observations within the neighborhood that belong to a different cluster

the sum of the density estimates of all the observations within the neighborhood

the ratio of the sum of the density estimates for the same cluster to the sum of all the density estimates in the neighborhood

If you specify the LIST option and there are unassigned objects, PROC MODECLUS produces a table listing those observations.
The table includes the following items:

the observation number or ID value of the observation

the estimated density

the ratio of the sum of the density estimates for the same cluster to the sum of the density estimates in the neighborhood
for all other clusters

If you specify the BOUNDARY option, PROC MODECLUS produces a table listing the observations in each cluster that have a neighbor
belonging to a different cluster. The table includes the following items:

the observation number or ID value of the observation

the estimated density

the cluster number

the ratio of the sum of the density estimates for the same cluster to the sum of the density estimates in the neighborhood
for all other clusters

If you do not specify the SHORT option, PROC MODECLUS produces a table of cluster statistics including the following items:

the cluster number

the cluster frequency (the number of observations in the cluster)

the maximum estimated density within the cluster

the number of observations in the cluster having a neighbor that belongs to a different cluster

the estimated saddle density of the cluster

If you specify the TEST or JOIN option, the table of cluster statistics includes the following items pertaining to the saddle
test:

the number of observations within the fixed-radius density-estimation neighborhood of the modal observation

the number of observations within the fixed-radius density-estimation neighborhood of the saddle observation

the number of observations within the overlap of the two preceding neighborhoods

the z statistic for comparing the preceding counts

the approximate p-value

If you do not specify the NOSUMMARY option, PROC MODECLUS produces a table summarizing each cluster solution containing the
following items:

the smoothing parameters and cascade value

the number of clusters

the frequency of unclassified objects

the likelihood cross validation criterion if you specify the CROSS or CROSSLIST option

If you specify the JOIN option, the summary table also includes the following items:

the number of clusters joined

the maximum p-value of any cluster in the solution

If you specify the TRACE option, PROC MODECLUS produces a table for each cluster solution that lists each observation along
with its cluster membership as it is reassigned from the "Old" cluster to the "New" cluster. This reassignment is described
in Step 1 through Step 3 of the section METHOD=6. Each table has a row for each observation. For each observation, the following are displayed: